Data Scientist

Data Scientist III Location: San Jose CA OR Chicago IL Client - PayPal Interview Type: Video EXP - 7+ Years Visa: Any visa Interview Type: Video Duration: 18+ months (High possibility of extension) ToSkills: BigQuery, Python Understand the production systems architect and offline data overview Machine Learning experience What You'll Do Analyze and interpret complex data sets to derive actionable insights and inform decision-making. Perform the statistical analysis on the feature transformation and business impact analytics Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform. Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally. Test and evaluation; Processing and governance, monitoring; Data analysis, decision engine serving 80+ checkpoint – lots of data sending through and we want to make sure all the rules within that checkpoint perform with a high quality and if something goes wrong, we need to do some analysis and automation. Tasks will be distributed via our Jira board/sprint planning/grooming cycle. Team will have a regular standup on each task (at least twice a week but open for daily if needed or any blockers) During the onboarding, it would require more interactions with Engg/Product/US Risk core teams but once onboarded, it would be 50/50. Team work mostly within Jira board from tasks assignments and tracking. Code would be in our centralized github repo. Updates/documentation would be either in wiki page or our sharepoint/share drive. You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation. You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to PayPal's fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe. Nice to Have: Risk and Fraud experience or business acumen; experience working directly with engineers Years of Experience: 6+ Degrees or Certifications: Masters preferred, solid BS is fine. Kasmo Global